Triple
T12412086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Club au Scapulaire |
E296540
|
entity |
| Predicate | associatedWithColorScheme |
P29272
|
FINISHED |
| Object | navy blue and white |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: navy blue and white | Statement: [Le Club au Scapulaire, associatedWithColorScheme, navy blue and white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithColorScheme Context triple: [Le Club au Scapulaire, associatedWithColorScheme, navy blue and white]
-
A.
hasColourScheme
chosen
Indicates that an entity is associated with a particular set or pattern of colors used in its design or appearance.
-
B.
associatedColour
Indicates that one entity is linked to another as its characteristic or representative colour.
-
C.
formerColorScheme
Indicates that an entity previously used a particular color scheme but no longer does so.
-
D.
sharesColorsWith
Indicates that two entities have one or more colors in common.
-
E.
colorSystemCompatibleWith
Indicates that one color system can be accurately used, interpreted, or converted within the context of another color system without loss of intended color meaning.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.